Visual Document Retrieval
Transformers
Safetensors
ColPali
multilingual
colvec1
feature-extraction
text
image
video
multimodal-embedding
vidore
colqwen3_5
multilingual-embedding
custom_code
Instructions to use webAI-Official/webAI-ColVec1-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use webAI-Official/webAI-ColVec1-4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("webAI-Official/webAI-ColVec1-4b", trust_remote_code=True, dtype="auto") - ColPali
How to use webAI-Official/webAI-ColVec1-4b with ColPali:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 51bcb80fd271ce2e01884d42af087c9221ff594dc43e125b9b45d0e08be2a068
- Size of remote file:
- 9.08 GB
- SHA256:
- eeabb1ab4b4262e2268bbce7c5e799d2284d4bca9453574eea8d10b4e18511c6
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